AWS Lambda and Python (Full Course) – Beginner to Advanced. This is a course for AWS Lambda Beginners planning to gain expertise in writing Lambda functions using Python with no previous coding experience or experience in a different programming language. In this course, you will learn how to write basic code to manage data, launch and manage asynchronous tasks, and create functional modules. You’ll start by learning the basics of writing Lambda functions using Python, then move on to more advanced topics like error handling and working with streams.
AWS Lambda is a compute service that enables you to run code without requesting a platform deployment from Amazon. You can use AWS Lambda to create custom logic in response to events, such as the receipt of an email, the submission of a form, or the reading of an input stream. You can also use AWS Lambda to run code at scale on demand using Amazon’s cloud infrastructure.
Python is an interpreted high-level programming language that is widely used in data science and machine learning applications. Python implements many features found in more traditional programming languages, such as variables, control structures, and functions. However, Python also has some unique characteristics that make it well-suited for data science and machine learning applications. For example, Python makes it easy to read and write code that is easy to maintain and extend.
AWS Lambda and Python (Full Course) – Beginner to Advanced
In this course, we’ll explore how Lambda works and how you can use it to power your own autonomous systems. We’ll start by creating a simple function using Python, and then move on to more complex tasks such as handling events and making requests. By the end of the course, you’ll be able to create powerful applications using Lambda and Python on AWS.
You will Learn
- Develop expertise in writing AWS Lambda functions using Python (Absolute Beginner to Advanced) – No previous coding experience is required
- Learn the basics of Python which will be used to write Lambda functions in Python
- Learn to write key AWS Services such as EC2, S3, and DynamoDB using AWS Lambda(Python)
- Test your knowledge by implementing the end-to-end use Enterprise use case 1 using S3, AWS Lambda, and DynamoDB
- Test your knowledge by implementing the end-to-end use Enterprise use case 2 using AWS Managed AD, FSx, EC2, SNS, AWS Lambda, CloudWatch Alarm
- 10 Must Know concepts related to AWS Lambda
This is a course for AWS Lambda Beginners planning to gain expertise in writing Lambda functions using Python with no previous coding experience or experience in a different programming language.
It starts from absolute basics on Python and then builds on that to write Lambda functions to create AWS Resources and finally culminating in developing advanced real-world enterprise use case.
The final capstone project is a common banking and retail industry use-case where the bank gets a regular feed through a json file which triggers the lambda function via a S3 event notification, the lambda functions then reads the data in the json file and inserts the data into DynamoDB.
Part 1 : AWS Lambda – Python Basics
Video 1 – Python Basics – 1 (Install PyCharm, Print Function, Variables, Format, User Input,)
Video 2 – Python Basics – 2 (Data Types Intro, Loops – For, and Data Type – Dictionary Deep Dive)
Video 3 – Python Basics – 3 (Data Type – List and Functions)
Part 2 : AWS Lambda – Create S3, EC2 and DynamoDB resources using Lambda
Video 4 – AWS Lambda Basics – Boto3, Client and Resource, Lambda function handler
Video 5 – AWS Lambda with S3 (Create new Bucket, Delete Bucket and List all the buckets)
Video 6 – AWS Lambda with EC2 (Create EC2 and Start/Stop)
Video 7 – AWS Lambda with DynamoDB (Create Table and Put Items)
Part 3: Capstone Project 1 – Enterprise Use Case using S3, AWS Lambda and DynamoDB
Video 8 – Enterprise Use Case using S3, AWS Lambda and DynamoDB – Part 1
Video 9 – Enterprise World Use Case using S3, AWS Lambda and DynamoDB – Part 2
Part 4: Capstone Project 2-Monitor & increase free storage for FCI Cluster using MS AD, FSx, EC2, SNS, CloudWatch, Lambda
Video 10 – Monitor and increase free storage for FCI Cluster – Architecture Discussion for use case
Video 11 – Monitor and increase free storage for FCI Cluster – Create AWS Managed AD, FSx, SNS, CloudWatch Alarm
Video 12 – Monitor and increase free storage for FCI Cluster – Write AWS Lambda function
Video 13 – Use case 2 – Monitor and increase free storage for FCI Cluster – Run the end to end demo
Part 5: AWS Lambda – 10 Must Know Concepts
Topics covered as part of the video are as follows
· What is AWS Lambda – Concept
· Use Case for AWS Lambda
· AWS Lambda Execution/Invocation Models
· AWS Lambda Limits and Pricing
· AWS Lambda Concurrency – Cold Start Problem, Provisioned concurrency and Reserved concurrency
· Handler Function, Events and Context
· AWS Lambda VPC
· Lambda function – Use Cloud Watch Logs and CloudWatch Metrics
· Environment Variables
. Setting up DLQ and lambda Layers
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